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  • Lecture Series in AI: Richard Zemel

    Davis Auditorium 530 W 120th St, New York, NY 10027, New York, NY

    General website Title: Integrating Past and Present in Continual Learning Abstract: Continual learning aims to bridge the gap between typical human and machine-learning environments. The continual setting does not have…

  • Speaker: Hadi Vafaii ARNI WG Multi-resource-cost optimization of neural network models

    Zuckerman Institute - L3-079 3227 Broadway, New York, NY, United States

    Location: ZI L3-079 Time: 1:00pm Title: Metabolic cost of information processing in Poisson variational autoencoders Abstract:Computation in biological systems is fundamentally energy-constrained, yet standard theories of computation treat energy as…

  • CTN: Jack Lindsey (Anthropic)

    Zuckerman Institute - L5-084 3227 Broadway, New York, NY, United States

    Title: The inner lives of language models Abstract: In recent years, LLMs have evolved from bad text completion engines, to decent chatbots, to digital genies that work miracles on your…

  • ARNI Distinguished Seminar Series: Ellie Pavlick (Brown University)

    Zuckerman Institute- Kavli Auditorium 9th Fl 3227 Broadway, NY

    Ellie Pavlick (Assistant Professor of Computer Science and Linguistics, Brown University and Director, NSF Institute on Interaction for AI Assistants (ARIA)) Location: ZI Kavli Auditorium 9th Floor Time: 3:00pm Title:…

  • Speaker: Ziwei (Sara) Gong – ARNI Language and Vision Working Group

    Virtual

    Title: Decoding Human Emotions: From Psychological Theories to Multimodal NLP Models Abstract: Understanding and modeling human emotions is essential for natural language processing (NLP) applications, from conversational AI to mental health assessment.…

  • ARNI Continual Learning Working Group Meeting

    We will feature a team of speakers from Blank Slate Technologies, a startup investigating issues related to continual learning and catastrophic forgetting in human operatives on mission-critical tasks. The team will be led by CEO Matt Trevithick. The title of the talk is the following: Quantifying Cognitive Performance in the Wild: Measurement, Modeling, and Operational Outcomes

  • Speaker: Hubert Banville, Meta – ARNI Frontier Models for Neuroscience and Behavior Working Group

    Virtual

    Hubert Banville, Meta Title: A foundation model of vision, audition, and language for in-silico neuroscience Abstract: Cognitive neuroscience is fragmented into specialized models, each tailored to specific experimental paradigms, hence preventing a unified model of cognition in the human brain. Here, we introduce TRIBE v2, a tri-modal (video, audio and language) foundation model capable of…